To Study the Use of Entropy and the Preprocessing Step in Analyzing Web Users' Behavior and Improving Web Mining

The study of entropy's application to online use mining is the main goal of the work. By using the Reference Length approach, entropy provides an additional option for figuring out the ratio of auxiliary pages in the session identification. Two distinct online portals were used for the experiment. The first log file was downloaded via the web portal of a virtual learning environment course. The online gateway with anonymous access provided the second log file. When entropy and sitemap estimations of the ratio of auxiliary pages were compared, it was discovered that entropy could replace the sitemap estimate of the ratio of auxiliary pages with a full-valued substitute in the situation of sitemap abundance.